π¨π Global One SI - Prompt
$HOVR Structure really starting to clean up here. That breakout reclaim is key β watching for continuation with volume.
$HOVR update π
Breakout confirmed.
Called the pressure building under resistance⦠and now price is ripping through the trigger zone with momentum accelerating hard.
From $2.15 breakout level β now trading near $2.80.
The Technicals NOW:
β Trendline breakout completed
β Volume expansion validating the move
β RSI pushing into momentum territory
β OBV continuing higher β accumulation confirmed
β TTM Squeeze expanding β volatility release active
This is exactly what strong setups do:
Compression β breakout β expansion.
Next major area Iβm watching sits around the $4 zone if momentum continues.
Early positioning matters.
Breakout confirmed.
Called the pressure building under resistance⦠and now price is ripping through the trigger zone with momentum accelerating hard.
From $2.15 breakout level β now trading near $2.80.
The Technicals NOW:
β Trendline breakout completed
β Volume expansion validating the move
β RSI pushing into momentum territory
β OBV continuing higher β accumulation confirmed
β TTM Squeeze expanding β volatility release active
This is exactly what strong setups do:
Compression β breakout β expansion.
Next major area Iβm watching sits around the $4 zone if momentum continues.
Early positioning matters.
π¨π Global One SI - Prompt
$JOBY update π Exactly what we wanted to see. Price reclaimed the key $8.80 breakout zone and is now pushing into the first target area near $10 with momentum accelerating fast. The Technicals NOW: β
Breakout confirmed above resistance β
TTM Squeezeβ¦
$JOBY In beast mode
π¨π Global One SI - Prompt
Update on $AUR π That βclean setupβ is doing exactly what it shouldβ¦ Break confirmed βοΈ Holding strength βοΈ Momentum building βοΈ This is how real reversals behave β not a spike, but follow-through. Now pushing into the next zoneβ¦ If this holds aboveβ¦
$AUR Squeezing
Anthropic just locked up every megawatt at Elon Musk's Colossus 1 data center.
Today they signed a deal worth 300+ megawatts of compute plus stated interest in developing multiple gigawatts of capacity in space.
You are looking at a commodity.
In under a month, Anthropic has locked up:
β $25 B in compute commitments with Amazon
β All of SpaceXAI's Colossus 1 in Memphis (300+ MW)
β Plans for multiple gigawatts of compute in space
Every contract is bilateral (but Unhedged)
This is what forward-buying compute looks like when there is no curve to buy it on.
In every other commodity, this exact structure was the precursor to financialization.
LNG started as bilateral SPAs.
Then JKM listed.
Then liquidity exploded.
Crude was term contracts and offtake deals.
Then Brent and WTI .
Then everything.
Compute is at the same point right now.
Today they signed a deal worth 300+ megawatts of compute plus stated interest in developing multiple gigawatts of capacity in space.
You are looking at a commodity.
In under a month, Anthropic has locked up:
β $25 B in compute commitments with Amazon
β All of SpaceXAI's Colossus 1 in Memphis (300+ MW)
β Plans for multiple gigawatts of compute in space
Every contract is bilateral (but Unhedged)
This is what forward-buying compute looks like when there is no curve to buy it on.
In every other commodity, this exact structure was the precursor to financialization.
LNG started as bilateral SPAs.
Then JKM listed.
Then liquidity exploded.
Crude was term contracts and offtake deals.
Then Brent and WTI .
Then everything.
Compute is at the same point right now.
Hyperscalers will generate $800 billion in AI revenue by 2029.
NVIDIA's revenue gain alone $453 billion outscales most mega-cap valuations.
CoreWeave: +2,654%.
Marvell: +2,434%.
Broadcom: +1,294%.
Most people read this chart as an equity story.
A commodity trader reads it differently.
Look at the same numbers through a derivatives lens:
Hyperscalers ($800B by 2029) are the natural buyers of compute.
CoreWeave and the neoclouds are the natural sellers sitting on fleets of GPUs that lenders will force them to hedge.
The curve between them termed out to 2029 is the next great commodity market?
It does not exist yet.
But $100 billion of BlackRock capital cannot deploy without it.
NVIDIA's revenue gain alone $453 billion outscales most mega-cap valuations.
CoreWeave: +2,654%.
Marvell: +2,434%.
Broadcom: +1,294%.
Most people read this chart as an equity story.
A commodity trader reads it differently.
Look at the same numbers through a derivatives lens:
Hyperscalers ($800B by 2029) are the natural buyers of compute.
CoreWeave and the neoclouds are the natural sellers sitting on fleets of GPUs that lenders will force them to hedge.
The curve between them termed out to 2029 is the next great commodity market?
It does not exist yet.
But $100 billion of BlackRock capital cannot deploy without it.
π¨π Global One SI - Prompt
π¨NEW: Blackrock CEO Larry Fink says surging demand for computing power could soon create an entirely new asset class centered around buying and selling compute futures.
π¨BlackRock CEO Larry Fink just said surging demand for computing power could soon create an entirely new asset class centered around buying and selling compute futures.
A market that doesn't exist yet.
Termed out, cleared on a screen, by the end of this decade.
I published exactly this thesis in my latest article:
The argument is simple.
BlackRock cannot deploy $100 billion of AI infrastructure capital without a hedging curve.
They are not predicting compute futures.
They are funding them into existence.
Fink just put it on the record.
What he did not say β and what is inside the edition:
β Why "compute is the new oil" is the wrong frame entirely
β The structural twin most analysts are missing
β The full contract design settlement, reference grade, who clears each side of the curve
β A worked possible trade with the merchant arbitrage wrapped around it
β Bear / base / bull market sizing, with the assumption table for each path
β The trading houses I would watch most closely
β The Tier 1 / 2 / 3 watchlist with named tickers, and which one to overweight first
A market that doesn't exist yet.
Termed out, cleared on a screen, by the end of this decade.
I published exactly this thesis in my latest article:
The argument is simple.
BlackRock cannot deploy $100 billion of AI infrastructure capital without a hedging curve.
They are not predicting compute futures.
They are funding them into existence.
Fink just put it on the record.
What he did not say β and what is inside the edition:
β Why "compute is the new oil" is the wrong frame entirely
β The structural twin most analysts are missing
β The full contract design settlement, reference grade, who clears each side of the curve
β A worked possible trade with the merchant arbitrage wrapped around it
β Bear / base / bull market sizing, with the assumption table for each path
β The trading houses I would watch most closely
β The Tier 1 / 2 / 3 watchlist with named tickers, and which one to overweight first
π¨π Global One SI - Prompt
Your Private AI Quant Operating System One deployable stack for charting, AI market research, Python indicators & strategies, backtests, and live executionβon your own servers and your own keys. github.com/brokermr810/QuantDinger
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5 Best Open-Source GitHub Bots for Polymarket BTC UP/DOWN Markets Right Now (Arbitrage + Momentum + Latency)
Each one uses a different strategy - from pure arbitrage to latency sniping to momentum
1. JLowo/gengar_polymarket_bot
Latency arbitrage on 5-minute BTC UP/DOWN markets. BTC moves on Binance - Polymarket's order book takes seconds to reprice
The bot buys the correct side at a discount before the market catches up
Example: BTC pumps hard, but "BTC Up" shares still trade at $0.60. True probability is 85%. Bot enters, holds to resolution, collects $1.00
Quarter-Kelly sizing - at 80%+ win rate with average entry $0.68, positions range $8β20 per trade depending on edge and bankroll. Circuit breaker built in: daily loss limit configurable via .env, Telegram alert when triggered
GitHub: github.com/JLowo/gengar_polymarket_bot
2. djienne/Polymarket-bot
Two strategies in one repo - run them separately or together
Gabagool: pure arbitrage. Buys both YES and NO when combined price is below $1.00 - profit locked in regardless of BTC direction
Smart Ape: momentum. Enters the side the market is already favoring when book skew and confidence pass the threshold. Stop-loss and flip-stop cut bad paths before resolution
Kelly Criterion sizing for both strategies independently. Real-time auto-optimization adjusts parameters based on recent performance
GitHub: github.com/djienne/Polymarket-bot
3. Jonmaa/btc-polymarket-bot
Pure arbitrage on 15-minute BTC UP/DOWN markets.
Scans the order book continuously - when UP + DOWN combined cost drops below $1.00, both legs are entered simultaneously
Depth-aware sizing: walks the ask book to find the real worst-fill price before committing. No optimistic pricing
Paired execution verification: if only one leg fills, the bot cancels the other and attempts to flatten exposure immediately
Auto-switches to the next market when the current window closes. Simulation mode connects to real live feeds without placing orders
GitHub: github.com/Jonmaa/btc-polymarket-bot
4. CarlosIbCu/polymarket-kalshi-btc-arbitrage-bot
The only bot in this list that trades two platforms simultaneously
Detects risk-free arbitrage between Polymarket and Kalshi on the BTC 1-hour UP/DOWN market
Logic: if YES on Kalshi + DOWN on Polymarket costs less than $1.00 for the same expiry - guaranteed profit regardless of outcome
Smart matching automatically pairs Polymarket events with their Kalshi equivalents. Checks both directions: Poly Down + Kalshi Yes and Poly Up + Kalshi No
GitHub: github.com/CarlosIbCu/polymarket-kalshi-btc-arbitrage-bot
5. PolyBullLabs/polymarket-5min-15min-1hour-arbitrage-trading-bot
Three production-style Python bots in one repo covering 5m, 15m, and 1h UP/DOWN markets
VWAP bot: enters when price pulls above VWAP with positive momentum in a late, narrow window
Consensus bot: in the last minutes, buys the side the order book already favors - filters by spread and ask skew confidence
Dump-and-hedge: detects a sharp BTC dump, enters one side, then hedges the other when combined pair cost clears the edge threshold
MACD + RSI + VWAP combined for the momentum stack. Dry run mode, spend caps, stop-loss built in across all three bots
GitHub: github.com/PolyBullLabs/polymarket-5min-15min-1hour-arbitrage-trading-bot
Each one uses a different strategy - from pure arbitrage to latency sniping to momentum
1. JLowo/gengar_polymarket_bot
Latency arbitrage on 5-minute BTC UP/DOWN markets. BTC moves on Binance - Polymarket's order book takes seconds to reprice
The bot buys the correct side at a discount before the market catches up
Example: BTC pumps hard, but "BTC Up" shares still trade at $0.60. True probability is 85%. Bot enters, holds to resolution, collects $1.00
Quarter-Kelly sizing - at 80%+ win rate with average entry $0.68, positions range $8β20 per trade depending on edge and bankroll. Circuit breaker built in: daily loss limit configurable via .env, Telegram alert when triggered
GitHub: github.com/JLowo/gengar_polymarket_bot
2. djienne/Polymarket-bot
Two strategies in one repo - run them separately or together
Gabagool: pure arbitrage. Buys both YES and NO when combined price is below $1.00 - profit locked in regardless of BTC direction
Smart Ape: momentum. Enters the side the market is already favoring when book skew and confidence pass the threshold. Stop-loss and flip-stop cut bad paths before resolution
Kelly Criterion sizing for both strategies independently. Real-time auto-optimization adjusts parameters based on recent performance
GitHub: github.com/djienne/Polymarket-bot
3. Jonmaa/btc-polymarket-bot
Pure arbitrage on 15-minute BTC UP/DOWN markets.
Scans the order book continuously - when UP + DOWN combined cost drops below $1.00, both legs are entered simultaneously
Depth-aware sizing: walks the ask book to find the real worst-fill price before committing. No optimistic pricing
Paired execution verification: if only one leg fills, the bot cancels the other and attempts to flatten exposure immediately
Auto-switches to the next market when the current window closes. Simulation mode connects to real live feeds without placing orders
GitHub: github.com/Jonmaa/btc-polymarket-bot
4. CarlosIbCu/polymarket-kalshi-btc-arbitrage-bot
The only bot in this list that trades two platforms simultaneously
Detects risk-free arbitrage between Polymarket and Kalshi on the BTC 1-hour UP/DOWN market
Logic: if YES on Kalshi + DOWN on Polymarket costs less than $1.00 for the same expiry - guaranteed profit regardless of outcome
Smart matching automatically pairs Polymarket events with their Kalshi equivalents. Checks both directions: Poly Down + Kalshi Yes and Poly Up + Kalshi No
GitHub: github.com/CarlosIbCu/polymarket-kalshi-btc-arbitrage-bot
5. PolyBullLabs/polymarket-5min-15min-1hour-arbitrage-trading-bot
Three production-style Python bots in one repo covering 5m, 15m, and 1h UP/DOWN markets
VWAP bot: enters when price pulls above VWAP with positive momentum in a late, narrow window
Consensus bot: in the last minutes, buys the side the order book already favors - filters by spread and ask skew confidence
Dump-and-hedge: detects a sharp BTC dump, enters one side, then hedges the other when combined pair cost clears the edge threshold
MACD + RSI + VWAP combined for the momentum stack. Dry run mode, spend caps, stop-loss built in across all three bots
GitHub: github.com/PolyBullLabs/polymarket-5min-15min-1hour-arbitrage-trading-bot
β1
π¨π Global One SI - Prompt
$HUT/USD H2 #Indicator #Signal #Trading #GlobalOneAI
Piper Sandler raises HUT 8 $HUT price target to $127, citing the $9.8B Beacon Point lease as validation of its AI model.
With 597MW contracted and a 1GW Anthropic pipeline, HUT is scaling into a premier AI power platform with $1.1B in annual NOI.
With 597MW contracted and a 1GW Anthropic pipeline, HUT is scaling into a premier AI power platform with $1.1B in annual NOI.
Nvidia literally told where to invest:
IP: $ARM
Fab: $TSM $INTC
Memory: $MU $SNDK $WDC
Packaging: $ASX $AMKR $CAMT
Equipment: $KLAC $LRCX $ASML $KEYS
Networking: $COHR $GLW $FN $LITE $APH
Servers OEMs: $DELL $SMCI $JBL
Power Systems: $FLEX $VRT $ETN
Power Electronics: $STM $ADI $MPWR $NVTS $ON
Direct Investments: $CRWV $NBIS $NOK $SNPS $LITE $GLW
IP: $ARM
Fab: $TSM $INTC
Memory: $MU $SNDK $WDC
Packaging: $ASX $AMKR $CAMT
Equipment: $KLAC $LRCX $ASML $KEYS
Networking: $COHR $GLW $FN $LITE $APH
Servers OEMs: $DELL $SMCI $JBL
Power Systems: $FLEX $VRT $ETN
Power Electronics: $STM $ADI $MPWR $NVTS $ON
Direct Investments: $CRWV $NBIS $NOK $SNPS $LITE $GLW
β1
π¨π Global One SI - Prompt
$GLW/USD H2 #Indicator #Signal #Trading #GlobalOneAI
Wolfe Research raises $GLW Corning price target to $230, citing a $6 Billion Meta $META deal and Nvidia $NVIDIA partnership as AI catalysts.
With Optical sales up 36% and an upgraded $35B sales goal by 2030, Corning is rerating as the primary backbone of AI data centers.
With Optical sales up 36% and an upgraded $35B sales goal by 2030, Corning is rerating as the primary backbone of AI data centers.
π¨ $GOOGL just split the TPU into TWO chips for the first time in a decade.
1. TPU 8t β training
2. TPU 8i β inference
Biggest re-architecture of the AI ASIC supply chain since Hopper. Hereβs the order book + every layer that benefits π
ββββββββββββββ
THE ORDER BOOK
ββββββββββββββ
β’ Anthropic anchor: 1 GW online in 2026 + 3.5 GW more from 2027 (via $AVGO)
β’ $AVGO long-term TPU agreement locked through 2031
β’ $MTK joined as 2nd silicon partner (designs TPU 8i)
β’ MediaTek requested 7x CoWoS capacity at $TSM by 2027 β 20K wafers in 2026 β 150K in 2027 (7x)
β’ $GOOGL committing $185B annual infra capex
This is a multi-year build-out π
ββββββββββββββ
THE CHIPS
ββββββββββββββ
β’ TPU 8t: 121 FP4 ExaFLOPs
β’ TPU 8i: 3x on-chip SRAM, 80% better perf/$ vs Ironwood
β’ $TSMC N3, hosted on Googleβs Axion Arm CPU
ββββββββββββββ
ASIC DESIGN & IP
ββββββββββββββ
$AVGO β designs TPU 8t (training).
-> 3.5 GW Anthropic commitment routes through Broadcom.
-> Also supplies networking, SerDes, power mgmt, packaging.
-> Biggest single beneficiary outside Google itself.
ββββββββββββββ
WAFER & ADVANCED PACKAGING
ββββββββββββββ
$TSM β N3 today, N2 for next-gen TPUs in 2027. CoWoS is THE bottleneck.
$AMKR β advanced packaging beneficiary as CoWoS demand spills over.
ββββββββββββββ
π OPTICAL & HIGH-SPEED INTERCONNECT
ββββββββββββββ
$COHR β optical modules + OCS (double exposure)
$LITE β optical modules + OCS
$AAOI β optical engine components
$MRVL β ASIC & high-speed interconnect
$CRDO β AECs, retimers, Optics, Zeroflaps
$FN β precision assembly + ultra-high precision OCS
$MTSI / $SMTC β analog optoelectronic chips
Million-chip clusters are an interconnect problem
ββββββββββββββ
MEMORY (HBM is the silent kingmaker)
ββββββββββββββ
TPU 8t = 216 GB HBM3E/chip
TPU 8i = 288 GB HBM3E/chip
2 PB HBM per single 8t superpod
β’ Samsung Electronics
β’ SK Hynix ($EWY proxy)
β’ $MU β finally inside the TPU BOM
β’ $SNDK β NAND for storage tier
HBM is structurally undersupplied through 2027 $DRAM π
ββββββββββββββ
β‘ POWER & THERMAL
ββββββββββββββ
8t pods draw multi-MW. Anthropic alone = 4.5 GW
Power: $MPWR, $AEIS, $VICR
Thermal: $VRT, $MOD, $NVT
Every new GW of TPU = new MW of power + cooling content
ββββββββββββββ
π οΈ SYSTEM ASSEMBLY & EMS
ββββββββββββββ
$CLS β cleanest TPU rack assembly play
$JBL β scaling AI server content
$FLEX β riding the same wave
These names get repriced as TPU pod volumes ramp into 2027
ββββββββββββββ
π¬ TEST, CPU, CABLES, PCB
ββββββββββββββ
$FORM β wafer probing, test intensity rises with chiplet TPUs
$ARM β Axion = Arm royalty replacing x86 in TPU hosts (massive architectural win)
$APH β high-density connectors
$TEL β TE Connectivity
$AEHR β Optics testing
$GLW β Corning, AOC + optical fiber
$TTMI β PCB content per pod
ββββββββββββββ
π― BOTTOM LINE
ββββββββββββββ
3 driving forces:
1.Anthropicβs 4.5 GW TPU commitment locks demand through 2031
2.MediaTek dual-sourcing cuts per-chip cost 30% β expands TAM
3.$GOOGL becoming a credible 2nd source to $NVDA forces every hyperscaler to react
πThe TPU ecosystem went from a Google-only curiosity to a multi hundred-billion-$ supply chain in 18 months.
1. TPU 8t β training
2. TPU 8i β inference
Biggest re-architecture of the AI ASIC supply chain since Hopper. Hereβs the order book + every layer that benefits π
ββββββββββββββ
THE ORDER BOOK
ββββββββββββββ
β’ Anthropic anchor: 1 GW online in 2026 + 3.5 GW more from 2027 (via $AVGO)
β’ $AVGO long-term TPU agreement locked through 2031
β’ $MTK joined as 2nd silicon partner (designs TPU 8i)
β’ MediaTek requested 7x CoWoS capacity at $TSM by 2027 β 20K wafers in 2026 β 150K in 2027 (7x)
β’ $GOOGL committing $185B annual infra capex
This is a multi-year build-out π
ββββββββββββββ
THE CHIPS
ββββββββββββββ
β’ TPU 8t: 121 FP4 ExaFLOPs
β’ TPU 8i: 3x on-chip SRAM, 80% better perf/$ vs Ironwood
β’ $TSMC N3, hosted on Googleβs Axion Arm CPU
ββββββββββββββ
ASIC DESIGN & IP
ββββββββββββββ
$AVGO β designs TPU 8t (training).
-> 3.5 GW Anthropic commitment routes through Broadcom.
-> Also supplies networking, SerDes, power mgmt, packaging.
-> Biggest single beneficiary outside Google itself.
ββββββββββββββ
WAFER & ADVANCED PACKAGING
ββββββββββββββ
$TSM β N3 today, N2 for next-gen TPUs in 2027. CoWoS is THE bottleneck.
$AMKR β advanced packaging beneficiary as CoWoS demand spills over.
ββββββββββββββ
π OPTICAL & HIGH-SPEED INTERCONNECT
ββββββββββββββ
$COHR β optical modules + OCS (double exposure)
$LITE β optical modules + OCS
$AAOI β optical engine components
$MRVL β ASIC & high-speed interconnect
$CRDO β AECs, retimers, Optics, Zeroflaps
$FN β precision assembly + ultra-high precision OCS
$MTSI / $SMTC β analog optoelectronic chips
Million-chip clusters are an interconnect problem
ββββββββββββββ
MEMORY (HBM is the silent kingmaker)
ββββββββββββββ
TPU 8t = 216 GB HBM3E/chip
TPU 8i = 288 GB HBM3E/chip
2 PB HBM per single 8t superpod
β’ Samsung Electronics
β’ SK Hynix ($EWY proxy)
β’ $MU β finally inside the TPU BOM
β’ $SNDK β NAND for storage tier
HBM is structurally undersupplied through 2027 $DRAM π
ββββββββββββββ
β‘ POWER & THERMAL
ββββββββββββββ
8t pods draw multi-MW. Anthropic alone = 4.5 GW
Power: $MPWR, $AEIS, $VICR
Thermal: $VRT, $MOD, $NVT
Every new GW of TPU = new MW of power + cooling content
ββββββββββββββ
π οΈ SYSTEM ASSEMBLY & EMS
ββββββββββββββ
$CLS β cleanest TPU rack assembly play
$JBL β scaling AI server content
$FLEX β riding the same wave
These names get repriced as TPU pod volumes ramp into 2027
ββββββββββββββ
π¬ TEST, CPU, CABLES, PCB
ββββββββββββββ
$FORM β wafer probing, test intensity rises with chiplet TPUs
$ARM β Axion = Arm royalty replacing x86 in TPU hosts (massive architectural win)
$APH β high-density connectors
$TEL β TE Connectivity
$AEHR β Optics testing
$GLW β Corning, AOC + optical fiber
$TTMI β PCB content per pod
ββββββββββββββ
π― BOTTOM LINE
ββββββββββββββ
3 driving forces:
1.Anthropicβs 4.5 GW TPU commitment locks demand through 2031
2.MediaTek dual-sourcing cuts per-chip cost 30% β expands TAM
3.$GOOGL becoming a credible 2nd source to $NVDA forces every hyperscaler to react
πThe TPU ecosystem went from a Google-only curiosity to a multi hundred-billion-$ supply chain in 18 months.
π¨π Global One SI - Prompt
$ARM/USD H2 #Indicator #Signal #Trading #GlobalOneAI
Arm $ARM reports Q4 revenue of $1.49B, beating estimates.
With 50% hyperscaler share and $2B in demand for the new AGI CPU codeveloped with $META Meta, Arm is evolving from an IP licensor into a $15B opportunity silicon powerhouse for agentic AI.
With 50% hyperscaler share and $2B in demand for the new AGI CPU codeveloped with $META Meta, Arm is evolving from an IP licensor into a $15B opportunity silicon powerhouse for agentic AI.
Anthropic raised at $380 billion in February. Four months later, onchain markets are pricing it at $1.2 trillion.
The same company now trades at five different valuations:
$380B β last primary round (Feb 2026)
$851B β Hiive, regulated US secondary for accredited investors
$900B β the offers Anthropic is currently weighing for its next primary
$1.0T β Forge Global, another regulated secondary
$1.2T β Jupiter onchain, where SPV-backed Prestocks tokens trade on Solana
At $1.2T, Anthropic would rank 11th among public companies. Ahead of Meta. Behind only Nvidia, Microsoft, Apple, Alphabet, Amazon, and four others.
What's driving every price is revenue. Anthropic's annualized run rate went from $9B at the end of 2025 to $14B in February to over $30B by April. Sources put the current number closer to $40B.
A 4.4x scale-up in six months. Each pricing mechanism is absorbing that growth at a different speed.
Onchain absorbs fastest. No fund formation, no IC meeting, no diligence cycle. Jupiter's price moves the moment someone with conviction wants exposure.
Regulated secondaries come next. Hiive and Forge need accredited investors and matched orders, so they lag onchain by days or weeks but still front-run the primary market.
Primary rounds are slowest. Board governance, term sheets, lawyer cycles. By the time the rumored $900B round prints, onchain will probably be somewhere else.
Here's the interesting part. A Solana DEX and a regulated US secondary for accredited investors are now pricing the same private company within 20% of each other. Five years ago that would have been a 10x gap.
Onchain pre-IPO just became a real price discovery layer for the most valuable private companies in the world.
Anthropic explicitly bans SPV and tokenized share transfers. The market built the price anyway.
The same company now trades at five different valuations:
$380B β last primary round (Feb 2026)
$851B β Hiive, regulated US secondary for accredited investors
$900B β the offers Anthropic is currently weighing for its next primary
$1.0T β Forge Global, another regulated secondary
$1.2T β Jupiter onchain, where SPV-backed Prestocks tokens trade on Solana
At $1.2T, Anthropic would rank 11th among public companies. Ahead of Meta. Behind only Nvidia, Microsoft, Apple, Alphabet, Amazon, and four others.
What's driving every price is revenue. Anthropic's annualized run rate went from $9B at the end of 2025 to $14B in February to over $30B by April. Sources put the current number closer to $40B.
A 4.4x scale-up in six months. Each pricing mechanism is absorbing that growth at a different speed.
Onchain absorbs fastest. No fund formation, no IC meeting, no diligence cycle. Jupiter's price moves the moment someone with conviction wants exposure.
Regulated secondaries come next. Hiive and Forge need accredited investors and matched orders, so they lag onchain by days or weeks but still front-run the primary market.
Primary rounds are slowest. Board governance, term sheets, lawyer cycles. By the time the rumored $900B round prints, onchain will probably be somewhere else.
Here's the interesting part. A Solana DEX and a regulated US secondary for accredited investors are now pricing the same private company within 20% of each other. Five years ago that would have been a 10x gap.
Onchain pre-IPO just became a real price discovery layer for the most valuable private companies in the world.
Anthropic explicitly bans SPV and tokenized share transfers. The market built the price anyway.